v1v2v3v4v5v6v7 (latest)

Open Graph Benchmark: Datasets for Machine Learning on Graphs

2 May 2020

Yuxiao Dong

Papers citing "Open Graph Benchmark: Datasets for Machine Learning on Graphs"

50 / 1,644 papers shown

Title
Permute Me Softly: Learning Soft Permutations for Graph Representations Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis GNN 84 9 0 05 Oct 2021
Inductive learning for product assortment graph completion Haris Dukic Georgios Deligiorgis Pierpaolo Sepe D. Bacciu Marco Trincavelli CML 80 1 0 04 Oct 2021
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs Fang Wu Dragomir R. Radev Huabin Xing ViT 141 59 0 04 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 206 79 0 01 Oct 2021
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs Zhao Xu Youzhi Luo Xuan Zhang Xinyi Xu Yaochen Xie Meng Liu Kaleb Dickerson Cheng Deng Maho Nakata Shuiwang Ji 98 40 0 30 Sep 2021
Distribution Knowledge Embedding for Graph Pooling Kaixuan Chen Mingli Song Shunyu Liu Na Yu Zunlei Feng Gengshi Han Xiuming Zhang GNN 84 23 0 29 Sep 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration Xiao Wang Hongrui Liu Chuan Shi Cheng Yang UQCV 189 121 0 29 Sep 2021
IGLU: Efficient GCN Training via Lazy Updates S. Narayanan Aditya Sinha Prateek Jain Purushottam Kar Sundararajan Sellamanickam BDL 82 12 0 28 Sep 2021
Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors Zhengyi Wang Zhongkai Hao Ziqiao Wang Hang Su Jun Zhu AAML GNN 83 18 0 27 Sep 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 112 42 0 27 Sep 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Helen Zhou Yu Li Yi Chang Xin Wang 99 35 0 23 Sep 2021
Edge-similarity-aware Graph Neural Networks Vincent Mallet Carlos Oliver William L. Hamilton 32 0 0 20 Sep 2021
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency Yongan Zhang Haoran You Yonggan Fu Tong Geng Ang Li Yingyan Lin GNN 90 29 0 18 Sep 2021
Releasing Graph Neural Networks with Differential Privacy Guarantees Iyiola E. Olatunji Thorben Funke Megha Khosla 118 47 0 18 Sep 2021
RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs Anahita Iravanizad E. Medina Martin Stoll GNN 43 1 0 15 Sep 2021
Accurately Modeling Biased Random Walks on Weighted Graphs Using $\textit{Node2vec+}$ Renming Liu M. Hirn Arjun Krishnan 39 4 0 15 Sep 2021
Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation Nan Wu Huake He Yuan Xie Pan Li Cong Hao GNN 81 3 0 13 Sep 2021
Explaining Deep Learning Representations by Tracing the Training Process Lukas Pfahler K. Morik FAtt 23 2 0 13 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 130 94 0 08 Sep 2021
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids Martin Ringsquandl Houssem Sellami Marcel Hildebrandt Dagmar Beyer S. Henselmeyer Sebastian Weber Mitchell Joblin AI4CE 33 18 0 08 Sep 2021
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs Arnav V. Malawade S. Yu Brandon Hsu Harsimrat Kaeley Anurag Karra Mohammad Abdullah Al Faruque GNN 91 29 0 02 Sep 2021
An Empirical Study of Graph Contrastive Learning Yanqiao Zhu Yichen Xu Qiang Liu Shu Wu 97 173 0 02 Sep 2021
Sparsifying the Update Step in Graph Neural Networks J. Lutzeyer Changmin Wu Michalis Vazirgiannis 79 4 0 02 Sep 2021
Position-based Hash Embeddings For Scaling Graph Neural Networks Maria Kalantzi George Karypis GNN 46 4 0 31 Aug 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 168 536 0 31 Aug 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Helen Zhou AI4CE 65 19 0 30 Aug 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph) Johannes C. Paetzold J. McGinnis Suprosanna Shit Ivan Ezhov Paul Büschl ... Anjany Sekuboyina Georgios Kaissis Ali Ertürk Stephan Günnemann Bjoern Menze 80 9 0 30 Aug 2021
Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding Edoardo Ramalli Alberto Parravicini Guido Walter Di Donato Mirko Salaris C´eline Hudelot M. Santambrogio 24 3 0 30 Aug 2021
Single Node Injection Attack against Graph Neural Networks Shuchang Tao Qi Cao Huawei Shen Junjie Huang Yunfan Wu Xueqi Cheng AAML GNN 106 70 0 30 Aug 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 94 3 0 30 Aug 2021
Latent Tree Decomposition Parsers for AMR-to-Text Generation Lisa Jin D. Gildea 32 0 0 27 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 95 42 0 24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Helen Zhou Zhangyang Wang AAML GNN 65 66 0 24 Aug 2021
Global Self-Attention as a Replacement for Graph Convolution Md Shamim Hussain Mohammed J Zaki D. Subramanian ViT 101 127 0 07 Aug 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 92 112 0 02 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 73 31 0 02 Aug 2021
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization Wentao Zhang Zhi-Xin Yang Yexin Wang Yu Shen Yang Li Liang Wang Tengjiao Wang 90 50 0 31 Jul 2021
Geometric Deep Learning on Molecular Representations Kenneth Atz F. Grisoni G. Schneider AI4CE 142 308 0 26 Jul 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 83 25 0 20 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang Abulikemu Abuduweili Quanming Yao Dejing Dou 93 70 0 16 Jul 2021
EGC2: Enhanced Graph Classification with Easy Graph Compression Jinyin Chen Haiyang Xiong Haibin Zheng Dunjie Zhang Jian Zhang Mingwei Jia Yi Liu AAML 111 16 0 16 Jul 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning Paul Pu Liang Yiwei Lyu Xiang Fan Zetian Wu Yun Cheng ... Peter Wu Michelle A. Lee Yuke Zhu Ruslan Salakhutdinov Louis-Philippe Morency VLM 111 172 0 15 Jul 2021
Hierarchical graph neural nets can capture long-range interactions Ladislav Rampášek Guy Wolf 101 14 0 15 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Helen Zhou GNN AI4CE 79 119 0 06 Jul 2021
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction Jiahua Rao Shuangjia Zheng Yuedong Yang 104 48 0 01 Jul 2021
Bilinear Scoring Function Search for Knowledge Graph Learning Yongqi Zhang Quanming Yao James T. Kwok 57 21 0 01 Jul 2021
Edge Representation Learning with Hypergraphs Jaehyeong Jo Jinheon Baek Seul Lee Dongki Kim Minki Kang Sung Ju Hwang 90 65 0 30 Jun 2021
Edge Proposal Sets for Link Prediction Abhay Singh Qian Huang Sijia Huang Omkar Bhalerao Horace He Ser-Nam Lim Austin R. Benson 40 16 0 30 Jun 2021
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 87 82 0 29 Jun 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 123 133 0 24 Jun 2021